A Model of Diagnosis Risk Based on Discrete-time Markovian Process
Zhao Yin · Journal of Sichuan University of Science & Engineering · 2011
This paper established a model for the diagnosis based on Bayesian formula and Markov chain,making hypothesis testing for the model according to China current medical management system,and the results of hypothesis testing were evaluated.Bayesian decision was applied in classification process,studying the two-value classification of medical diagnosis in simple case.While the classification decision function is given according to the principle of minimum average risk classification.And discussion was given by applying the Bayesian theory and Markov processes.The experiments confirmed that the establishment of compulsory medical liability insurance system was correct and necessary in our country.